Security Scan Report: craigkreyesg.pages.dev

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Submitted: Jan 8, 2026, 8:33:55 PMCompleted: Jan 8, 2026, 8:35:06 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 16 domains to perform 36 HTTP transactions. The main domain is craigkreyesg.pages.dev and was registered NaN years ago.

Submitted URL: https://craigkreyesg.pages.dev/gjfqo-social-security-employee-tax-cap-2025-ifrqa/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

High‑risk phishing site impersonating Google; do not provide any credentials.

Risk Factors
Brand impersonation/typosquatting of Google on an unrelated domain
Unranked domain indicating poor reputation
Domain age information unavailable

Details

Page Title

Social Security Employee Tax Cap 2025 - Craig K Reyes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

You're looking at domain 'craigkreyesg.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'craigkreyesg'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://craigkreyesg.pages.dev/gjfqo-social-security-employee-tax-cap-2025-ifrqa/

Page Load Overview

4.16s
Total Load Time
35
HTTP Requests
16
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,815 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
45%
news/blog
35%
corporate
35%
social media network
33%
documentation technical
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7188.114.97.3United States
AS13335CLOUDFLARENET
2104.20.36.95Germany
2172.67.75.176Germany
2104.21.27.154United States
AS13335CLOUDFLARENET
2104.21.18.46United States
AS13335CLOUDFLARENET
2142.250.185.170United States
AS15169GOOGLE
2142.250.184.227United States
AS15169GOOGLE
2108.138.26.115GermanyUnknown
23.5.29.25GermanyUnknown
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3515--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10123183240AD1437361BE3D99664731DF9ABAA1ACD034B6532FC25688F98EF305B705E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:eZdapFxTQZ5a/GF0aaVODE/+gIDkFXSmE9OcO6Oy6SjzpsDZg5uouA21/fY+MZMN:eaprTQa/GF0aaVODw+g2kFimE9OcO6OV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47996:pcYYAIPBOXHpcokMBoGQLWACDIABJAGQg4ALKjuEBCABgGkEgBgiYxDRwEFECB2IBwBhEGZhAoqPIQBOxzNq8mWSCwhDQVmA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:efffcf8b83d3dbfb
Perceptual Hash:b8c3c33630cbcb36
Difference Hash:0b1f2b3b0f2b231b
Wavelet Hash:e5db838b838383cb
Color Hash:#3a6e78

Scan History

Scan history not available

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